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Showing 1 to 15 of 27 results Save | Export
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Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
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Felipe Gonzalez-Pizarro; Claudia Lopez; Andrea Vasquez; Carlos Castro – IEEE Transactions on Education, 2024
While computational thinking arises as an essential skill worldwide, formal primary and secondary education in Latin America rarely incorporates mechanisms to develop it in their curricula. The extent to which students in the region acquire computational thinking skills remains largely unknown. To start addressing this void, this article presents…
Descriptors: Foreign Countries, Computation, Thinking Skills, College Freshmen
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Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
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Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
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Boldbaatar, Nomin; Sendurur, Emine – Journal of Educational Computing Research, 2019
The emergence of block-based environments aims to facilitate the problems caused by the abstractness of text-based languages. Recent studies generally focus on the effect of having block-based experience on programming education. This study is an attempt to observe the transfer of previous programming experiences (block-based vs. text-based) into…
Descriptors: Educational Games, Computer Games, Computer Simulation, Computer Software
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Imre Bende – Acta Didactica Napocensia, 2024
The continuous development of artificial intelligence-based tools makes their emergence inevitable in education as well as other fields of life. This article presents findings of a mixed method study aimed at investigating the current perceptions and potential applications of AI in Hungarian educational settings. Through interviews with high…
Descriptors: Readiness, Artificial Intelligence, Technology Uses in Education, Foreign Countries
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Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
Philip Sands – ProQuest LLC, 2021
Over the past 20 years, the field of computer science has experienced a growth in student interest. Despite this increase in participation rates, longstanding gender gaps persist in computer science. Recent research has examined a wide variety of individual factors (e.g., self-efficacy, sense of belonging, etc.) that impact student interest and…
Descriptors: Computer Science Education, Gender Differences, Prior Learning, Programming
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Priti Oli; Rabin Banjade; Arun Balajiee Lekshmi Narayanan; Peter Brusilovsky; Vasile Rus – Grantee Submission, 2023
Self-efficacy, or the belief in one's ability to accomplish a task or achieve a goal, can significantly influence the effectiveness of various instructional methods to induce learning gains. The importance of self-efficacy is particularly pronounced in complex subjects like Computer Science, where students with high self-efficacy are more likely…
Descriptors: Computer Science Education, College Students, Self Efficacy, Programming
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Demir, Ömer; Seferoglu, Süleyman Sadi – Journal of Educational Computing Research, 2021
This study's goal was to investigate the effect of homogeneous and heterogeneous pairs in terms of individual differences on group compatibility, flow, and coding performance in pair programming. In line with this goal, five individual difference variables of gender, learning style, friendship, the conscientiousness component of personality…
Descriptors: College Students, Programming, Coding, Cooperative Learning
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Lavbic, Dejan; Matek, Tadej; Zrnec, Aljaž – Interactive Learning Environments, 2017
Today's software industry requires individuals who are proficient in as many programming languages as possible. Structured query language (SQL), as an adopted standard, is no exception, as it is the most widely used query language to retrieve and manipulate data. However, the process of learning SQL turns out to be challenging. The need for a…
Descriptors: Evaluation Methods, Information Systems, Intelligent Tutoring Systems, Computer Science Education
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Chen, Chen; Haduong, Paulina; Brennan, Karen; Sonnert, Gerhard; Sadler, Philip – Computer Science Education, 2019
Background and Context: The relationship between novices' first programming language and their future achievement has drawn increasing interest owing to recent efforts to expand K-12 computing education. This article contributes to this topic by analyzing data from a retrospective study of more than 10,000 undergraduates enrolled in introductory…
Descriptors: Computer Science Education, Programming Languages, College Students, Computer Attitudes
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Xinogalos, Stelios; Satratzemi, Maya; Chatzigeorgiou, Alexander; Tsompanoudi, Despina – Journal of Educational Computing Research, 2019
Pair Programming has been shown to increase productivity and code quality not only in professional software development but also in the context of programming education. The provision of broadband Internet access gave rise to Distributed Pair Programming (DPP) enabling two programmers to collaborate remotely. To gain insight into the benefits of…
Descriptors: Programming, Cooperative Learning, Computer Science Education, Foreign Countries
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Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
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Margulieux, Lauren E.; Catrambone, Richard – Journal of the Learning Sciences, 2019
Subgoal learning, a technique used to break down problem solving into manageable pieces, has been used to promote retention and transfer in procedural domains, such as programming. The primary method of learning subgoals has been passive, and passive learning methods are typically less effective than constructive methods. To promote constructive…
Descriptors: Problem Solving, Learning Strategies, Logical Thinking, Guidance
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